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Generating ultra high-quality articles using Ground Truth knowledgebase

Hacker News

Generating ultra high-quality articles using Ground Truth knowledgebase

Backstory: In 2022, the big problem I ran into with AI-generated content was that the AI would make stuff up like crazy -- thus hurting the brand and, over the long-term, trust in the facts that were presented. So now, I created this new tool that basically uses RAG (retreival augmented generation) with anti-hallucination methods to create ultra-high quality content grounded by a "Ground Truth" knowledgebase. In other words, you FIRST start with the "source of truth" (like Pubmed papers or curated list of document/articles) and THEN you generate the content based on that -- WITHOUT hallucinating. What this tool does: Creates FACTUAL content from your Ground Truth KB. Here is the (alpha) version of this tool: https://customgpt-blog-content-generator.streamlit.app/ Here is an example generated article (every word in this article is AI generated from a KB of 800 documents/articles on this niche topic of "shoes from tires") : https://www.wheeliesshoes.com/how-to-make-shoes-from-used-ti...

Visit product View on Hacker NewsSep 8, 2023

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using · Missing: mac, agents, macos

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51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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